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Numerical study of the error sources in the experimental estimation of thermal diffusivity: an application to debris-covered glaciers
Published 2025-07-01“…The most commonly used method to calculate effective thermal conductivity of supraglacial debris layers applies heat diffusion principles to a vertical array of temperature measurements through the supraglacial debris cover combined with an estimate of volumetric heat capacity of the debris as presented by <span class="cit" id="xref_text.1"><a href="#bib1.bibx11">Conway and Rasmussen</a> (<a href="#bib1.bibx11">2000</a>)</span>. Application of this approach is only appropriate if the temperature data indicate that the system is predominantly conductive and, even in the case of a pure conductive system, the method necessarily introduces numerical errors that can impact the derived values. …”
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A Method for Modeling Time Delay-Related Measurement Errors, Applicable in Power and Energy Monitoring and in Fault Detection Algorithms for Energy Grids
Published 2025-07-01“…A classification of delays, based on their properties and the nature of the error signal they generate, is proposed. In addition to the mathematical model and its verification through the Monte Carlo method, the paper discusses potential applications of the proposed analysis method for selected implementations of measurement chains. …”
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Application of a mixed additive and multiplicative random error model to generate DTM products from LiDAR data
Published 2025-05-01“…Utilizing LiDAR data to generate DTM is now a mainstream method. In current applications, LiDAR data are still treated as having primarily additive errors; however, studies have shown that it is affected by both additive and multiplicative errors. …”
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Registry Errors in the Cadastre under Modern Conditions
Published 2019-04-01“…Poor cadastral valuation leads to errors in the activity of a cadastral engineer. In particular, the lack of developed methodological support, speeding up the training of cadastral valuation staff, unreliability or lack of cadastral information in most areas of the country, obsolete equipment, the lack of R & D and the application of the method of mass valuation of real estate, which does not take into account the individual characteristics of the object of valuation, can result in registry errors. …”
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Syndrome spectrums of error orbits in RS-codes
Published 2020-05-01“…So, unlike BCH-codes, RS-codes contain an extremely large variety of correctable errors. To correct these errors, a systematic application of automorphisms of codes is proposed. …”
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Error-mitigated multi-layer quantum routing
Published 2025-03-01“…Due to the numerous limitations of current quantum devices, quantum error mitigation methods become potential solutions for realizing practical quantum routers in the near term. …”
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Human Error Probability in Responding to Safety Alarms
Published 2025-06-01“…This method, called HEPIRA (Human Error Probability in Responding to safety Alarms), is a procedure for quantitative evaluation of the human error probability by operators in responding to critical process and fire & gas alarms, that intervene in the prevention or mitigation of a major accident scenario. …”
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Error Compensation for Dead Reckoning Based on SVM
Published 2024-12-01“…To solve this problem, research was conducted on the application of support vector machine(SVM) for error compensation in dead reckoning. …”
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Comprehensive propagation of errors for the prediction of woody biomass
Published 2025-01-01“…Application of different allometric models to the same inventory data suggested the error from generalised models was no greater than that from site‐ or species‐specific models, with increases in the generalised model prediction error balanced by decreases in other error sources associated with the increased sample size on which generalised models are based. …”
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The Support Vector Regression with L1 Norm: Application to Weather Radar Data in Adjusting Rainfall Errors
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Linking Error Estimation in Fixed Item Parameter Calibration: Theory and Application in Large-Scale Assessment Studies
Published 2025-02-01“…The proposed error estimates were evaluated through a simulation study, and their application is illustrated using PISA 2006 data for the reading domain.…”
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Correcting historical errors in lower eyelid reconstruction
Published 2017-12-01“…Sometimes, even in academic applications and evaluations, these techniques may be presented with unusual nomenclatures, alluding to the diffuser rather than to the creator of the technique, leading to misunderstandings and errors. …”
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Quantum Error-Corrected Non-Markovian Metrology
Published 2025-08-01“…While quantum error correction (QEC) can recover the HL under Markovian noise, its applicability to non-Markovian noise remains less explored. …”
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Density Problem and Approximation Error in Learning Theory
Published 2013-01-01“…We study the density problem and approximation error of reproducing kernel Hilbert spaces for the purpose of learning theory. …”
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Improving the efficiency of learning-based error mitigation
Published 2025-05-01“…Error mitigation will play an important role in practical applications of near-term noisy quantum computers. …”
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The automorphisms and error orbits of Reed – Solomon codes
Published 2020-06-01“…The same factor is attractive for practical applications of RS-codes. The matrix language allows you to break the syndromes of errors into components that are elements of the Galois field – the field of definition of RS-codes. …”
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Predicting Object Communication Errors in Constructor Development
Published 2025-01-01“…An important challenge in dynamic software development is to predict object formation run-time object communication errors in complex environments involving multiple and multi-level object inheritance. …”
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Application of type I and II error analysis to support economic decision-making of using an immunomodulator feed additive
Published 2024-12-01“…This study applies a type I and II error analysis to quantify the economic risk of investing in OMN feed supplementation using data from a controlled study and a field dataset collected on dairy farms. …”
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